Reconstruction of Metal Defect Images Based on the Sensitivity Matrix of High Conductivity Initial Estimate for Eddy Current Tomography

IF 2.6 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Journal of Nondestructive Evaluation Pub Date : 2024-04-25 DOI:10.1007/s10921-024-01078-5
Zhili Xiao, Zicheng Ma, Xiaohui Li, Chao Tan, Feng Dong
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Abstract

Eddy current testing is one of the conventional non-destructive testing (NDT) technologies which is widely used in metal defects detection. Defect imaging by eddy current tomography (ECT) has advantages of visualization of defects, large detection area, fast detection speed and avoiding mechanical scanning imaging error. Sensitivity matrix is crucial in reconstructing defect images of metal materials by ECT. This article presents a sensitivity matrix of high conductivity initial estimate for ECT detecting metal materials. A 4\(\times \)4 eddy current planar coil array and a 2 mm thickness titanium plate with defects were designed by both simulation and experiment. Based on the proposed sensitivity matrix, reliability of ECT forward problem linearization was analyzed and image reconstruction with two typical regularization methods (\(L_1\) and \(L_2\)) were investigated. Both simulation and experiment results show that ECT forward problem linearization was more accurate and reliable with the proposed sensitivity matrix especially at higher frequency. And \(L_1\) regularization method was verified to be more suitable to reconstruct image of small defects in metal materials. This work expands the original assumption of ECT forward problem linearization, which is of great significance to improve the metal defect image accuracy of ECT.

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基于涡流断层扫描高传导性初始估计灵敏度矩阵的金属缺陷图像重构
涡流检测是传统的无损检测(NDT)技术之一,广泛应用于金属缺陷检测。利用涡流断层扫描(ECT)进行缺陷成像具有缺陷可视化、检测面积大、检测速度快和避免机械扫描成像误差等优点。灵敏度矩阵是利用 ECT 重建金属材料缺陷图像的关键。本文提出了用于 ECT 检测金属材料的高电导率初始估计灵敏度矩阵。通过模拟和实验,设计了一个 4(\times\)4 涡流平面线圈阵列和一个 2 毫米厚的带缺陷钛板。基于提出的灵敏度矩阵,分析了 ECT 正向问题线性化的可靠性,并研究了两种典型的正则化方法(\(L_1\) 和 \(L_2\))的图像重建。仿真和实验结果表明,使用所提出的灵敏度矩阵,ECT正向问题线性化更加准确可靠,尤其是在较高频率下。而 \(L_1\) 正则化方法被证实更适用于重建金属材料中微小缺陷的图像。这项工作拓展了 ECT 前向问题线性化的原始假设,对提高 ECT 的金属缺陷图像精度具有重要意义。
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来源期刊
Journal of Nondestructive Evaluation
Journal of Nondestructive Evaluation 工程技术-材料科学:表征与测试
CiteScore
4.90
自引率
7.10%
发文量
67
审稿时长
9 months
期刊介绍: Journal of Nondestructive Evaluation provides a forum for the broad range of scientific and engineering activities involved in developing a quantitative nondestructive evaluation (NDE) capability. This interdisciplinary journal publishes papers on the development of new equipment, analyses, and approaches to nondestructive measurements.
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